Data Transformation

Existing data that is stored in a wide variety of data sources like Microsoft Excel files, relational databases, and HDFS are first transformed into a format that is ready for visualization using dashboards. The Syncfusion Big Data Platform also greatly compliments the dashboard since it offers one of the most versatile ETL tools available. Data from virtually any format, including a mix of structured and unstructured data sources, can be imported into HDFS and be easily transformed into the desired format before visualizing as dashboards.

Join multiple tables (joining itself or other) based on one or more conditions to generate a desired view as needed.

Table Joining

Join multiple tables (joining itself or other) based on one or more conditions to generate a desired view as needed.

Expression Functions

More than 50 functions supported to utilize in query expressions across the categories like numbers, aggregation, conditional, logical, date and string.

Support for query expressions across the categories like numbers, aggregation, conditional, logical, date and string.
Filter rows from your data and use only the needed information in the dashboards.

Row Filtering

Restrict unwanted records from getting into the dashboard through the data filtering mechanism. The restriction can either be imposed as direct filtering of rows based on specific column value(s) or ranking based.

Column Filtering

Ignore the data columns that don't have any major part to play with data visualization or it is a duplicate of a column in another table in table joining scenario.

Filter columns from your data and use only the needed information in the dashboards.
Rename the data column name to a meaningful one for display purpose.

Column Renaming

Rename the data column name to a meaningful one for display purpose through inline editing in the data design view.

Column Type Conversion

Convert the data type of a column to another convertible type say, Date Time, Integer, Text, based on the need of that column in the visualization process.

Convert the data type of a column to another convertible type say, Date Time, Integer, Text.
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